dmcnamee's Stars
FluidityProject/fluidity
Fluidity
holoviz/datashader
Quickly and accurately render even the largest data.
graphistry/pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
lfads/lfads-run-manager
Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
cortex-lab/KiloSort
GPU code for spike sorting
cortex-lab/phy
phy: interactive visualization and manual spike sorting of large-scale ephys data
shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
david-abel/simple_rl
A simple framework for experimenting with Reinforcement Learning in Python.
eleurent/phd-bibliography
References on Optimal Control, Reinforcement Learning and Motion Planning
lcswillems/rl-starter-files
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Farama-Foundation/Minigrid
Simple and easily configurable grid world environments for reinforcement learning
google-deepmind/trfl
TensorFlow Reinforcement Learning
google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
PythonOT/POT
POT : Python Optimal Transport
zuoxingdong/lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
nikitavoloboev/config
Apps/CLIs/configs I use on macOS/iOS. Fish, Karabiner, Cursor..
vispy/vispy
Main repository for Vispy
Zulko/gizeh
Simple Vector Graphics for Python
fogleman/ln
3D line art engine.
tntrung/gan
Tensorflow code of Dist-GAN, GN-GAN and other GAN methods
cupy/cupy
NumPy & SciPy for GPU
jmschrei/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
root-project/root
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
bumps/bumps
Data fitting with uncertainty analysis
vivienseguy/Large-Scale-OT
Stochastic algorithms for computing Regularized Optimal Transport
mblondel/smooth-ot
Python implementation of smooth optimal transport.
mblondel/soft-dtw
Python implementation of soft-DTW.
google-deepmind/sonnet
TensorFlow-based neural network library
sungyongs/graph-based-nn
Graph Convolutional Networks (GCNs)
dilinwang820/Stein-Variational-Gradient-Descent
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"